On Improved Noise Variance Estimation for Aeronautical Communications

Yin Ping Jiang; Tao Zhang

doi:10.4028/www.scientific.net/AMM.336-338.1688

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 336-338On Improved Noise Variance Estimation for...

On Improved Noise Variance Estimation for Aeronautical Communications

Abstract:

The L-band Digital Aeronautical Communication System Type-1 (L-DACS1) has been considered as the potential standard for future aeronautical communications. As an important parameter for L-DACS1, the noise variance can be estimated via the well known Second-Moment-Fourth-Moment (M2M4) blind algorithm. However, due to influence from aeronautical fading channels, performance degradation is encountered by conventional M2M4 algorithm in L-DACS1. In this paper, channel responses obtained from L-DACS1 pilot symbols were carried out to compensate the estimation degradation brought by channel fading, which lead to an improved M2M4 algorithm for L-DACS1. It is shown through simulations that the proposed approach outperforms conventional M2M4 estimator in terms of estimation error for L-DACS1 in aeronautical fading channels.

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Periodical:

Applied Mechanics and Materials (Volumes 336-338)

Pages:

1688-1693

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.336-338.1688

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Online since:

July 2013

Authors:

Yin Ping Jiang, Tao Zhang

Keywords:

Aeronautical Communications, L-Band Digital Aeronautical Communication System Type-1 (L-DACS1), Noise Variance Estimation, Second-Moment-Fourth-Moment (M2M4) Algorithm, Signal-to-Noise Ratio (SNR)

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References

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